Image quality assessment (IQA) has been important issue in image processing. While using subjective quality assessment for image processing algorithms is suitable, it is hard to get subjective quality because of time and money. A lot of objective quality assessment algorithms are used widely as a substitution. Objective quality assessment divided into three types based on existence of reference image: full-reference, reduced-reference, and no-reference IQA. No-reference IQA is more difficult than full-reference IQA because it does not have any reference image. In this paper, we propose a novel no-reference IQA algorithm to measures contrast of image. The proposed algorithm is based on just-noticeable-difference which utilizes the human visual system (HVS). Experimental results show the proposed method performs better than conventional no-reference IQAs.
|Number of pages||4|
|Journal||IS and T International Symposium on Electronic Imaging Science and Technology|
|Publication status||Published - 2017|
|Event||Image Quality and System Performance XIV, IQSP 2017 - Burlingame, United States|
Duration: 2017 Jan 29 → 2017 Feb 2
Bibliographical noteFunding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT and future Planning (No. 2015R1A2A1A14000912)
© 2017, Society for Imaging Science and Technology.
All Science Journal Classification (ASJC) codes
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Human-Computer Interaction
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics